869 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Newcastle University;" PhD positions
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PhD Studentship: Wildlife Connectivity Potential of Tree-Based Agricultural Systems (TROPS lab, Newcastle University) Award Summary 100% Home fees covered and a minimum tax-free annual living
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April 2027 Award Duration 3.5 Years Application Closing Date 15/10/2026 Sponsor Newcastle University Supervisors Prof Marion Pfeifer (Newcastle University) Dr Evelyn Jensen (Newcastle University
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PhD Studentship: Mechanisms driving water use in tree-based agricultural systems (TROPS lab, Newcastle University) Award Summary 100% Home fees covered and a minimum tax-free annual living allowance
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3.5 Years Application Closing Date 15 October 2026 Sponsor Newcastle University Supervisors Prof Marion Pfeifer (SNES, Newcastle University) Dr Tom Reershemius (SNES, Newcastle University) Eligibility
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home tuition fees. Overview Interested in developing innovative solutions to collect research outcome data in primary care? The 10-Year Health Plan includes the transition from hospital to the community
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
National Research Council Office across Canada Classification: RO/RCO Tenure: Term Work arrangements: Depending on the nature of the work and operational requirements, positions hired through this program
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, expected to commence on 1 January 2027. The successful candidate will be enrolled in the PhD programme at Newcastle University and supervised by: Main Supervisor: Dr Manuel Herrera, Newcastle University, UK
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
mathematical aspects; Adequate programming skills and willingness to apply machine learning where required; Optionally, previous experience contributing to open-source scientific software. Terms of employment
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biology or a quantitative discipline, such as physics, engineering or applied mathematics, with expertise in programming and an interest in developing AI-driven computational tools for biological data
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. International Excellence – Programme Goals The Centre supports academic exchange across existing boundaries: between disciplines, between different cultures and countries, between established and younger